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Considering the systems engineering leading indicators to improve project performance measurement

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  • Li Zheng

    (LAAS-ISI - Équipe Ingénierie Système et Intégration - LAAS - Laboratoire d'analyse et d'architecture des systèmes - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INSA Toulouse - Institut National des Sciences Appliquées - Toulouse - INSA - Institut National des Sciences Appliquées - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse)

  • Claude Baron

    (LAAS-ISI - Équipe Ingénierie Système et Intégration - LAAS - Laboratoire d'analyse et d'architecture des systèmes - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INSA Toulouse - Institut National des Sciences Appliquées - Toulouse - INSA - Institut National des Sciences Appliquées - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse)

  • Philippe Esteban

    (LAAS-ISI - Équipe Ingénierie Système et Intégration - LAAS - Laboratoire d'analyse et d'architecture des systèmes - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INSA Toulouse - Institut National des Sciences Appliquées - Toulouse - INSA - Institut National des Sciences Appliquées - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse)

  • Rui Xue

    (LAAS-ISI - Équipe Ingénierie Système et Intégration - LAAS - Laboratoire d'analyse et d'architecture des systèmes - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INSA Toulouse - Institut National des Sciences Appliquées - Toulouse - INSA - Institut National des Sciences Appliquées - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse)

  • Qiang Zhang

Abstract

With a long history in project management practices, project performance measurement (PPM) offers a wide range of methods and good practices which help project managers to effectively monitor the project and evaluate project progress and results. However, several critical issues remain, such as an unbalanced development of KPIs types or a limited availability of leading Key Performance Indicators (KPIs). On the other hand, systems engineering measurement (SEM) is a more recent discipline, with practices and theories that appeared with the emergence of the systems engineering discipline. Moreover, SEM has been much more developed with some practical research results published in several standards and guides. In particular, SEM does not only use lagging indicators, used to track how things are going but defines methods to promote leading indicators, used as precursors to the direction where the engineering is going; indeed, 18 leading indicators (LIs) were recently proposed, validated, and finally engineered in a practical guidance. Our goal being to improve project performance and success rate, one mean is to improve the project performance measurement, on which decisions rely for project management. To achieve this goal, this paper proposes to extend the project performance measurement of indicators by considering how performance is measured in systems engineering.

Suggested Citation

  • Li Zheng & Claude Baron & Philippe Esteban & Rui Xue & Qiang Zhang, 2017. "Considering the systems engineering leading indicators to improve project performance measurement," Post-Print hal-01710579, HAL.
  • Handle: RePEc:hal:journl:hal-01710579
    Note: View the original document on HAL open archive server: https://laas.hal.science/hal-01710579
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    References listed on IDEAS

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    1. Donna H. Rhodes & Ricardo Valerdi & Garry J. Roedler, 2009. "Systems engineering leading indicators for assessing program and technical effectiveness," Systems Engineering, John Wiley & Sons, vol. 12(1), pages 21-35, March.
    2. Li Zheng & Claude Baron & Philippe Esteban & Rui Xue & Qiang Zhang, 2016. "Pointing out the gap between academic research and supporting software tools in the domain of the performance measurement management of engineering projects," Post-Print hal-01496409, HAL.
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    Keywords

    KPIs; leading indicators; performance measurement; lagging indicators;
    All these keywords.

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